RagasをChatGPT、Claude、Geminiに接続

• 01 / 03RAGの評価を実行する
• 02 / 03Ragasデータセットの管理方法
• 03 / 03RAGの実験結果を比較する

最速日

698ms

最遅日

1115ms

14日間の傾向

遅延傾向+43%

Ragas Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_mQUV7klN4rh09rRcp9ld3cwceCP25oL5Lk8res4B/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Ragas capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "ragas-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mQUV7klN4rh09rRcp9ld3cwceCP25oL5Lk8res4B/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ RagasをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  AI/MLエンジニア

  ダッシュボードへの切り替えやPythonスクリプトの記述を繰り返すことなく、パイプラインの評価を直接実行したいエンジニア。

• 02

  LLM品質保証（QA）スペシャリスト

  ハルシネーション率を低く抑えるために、データセットとベンチマーク結果を迅速に検証する必要がある担当者。

• 03

  データサイエンティスト

  統一されたメトリクスを使用して、複数のRAG構成による実験結果を並べて比較したい専門家。

• 01

  How do I use Ragas with my AI client?

  You connect the MCP by providing your Ragas Application URL and Application Token. Once connected, you can simply ask your agent to run evaluations or fetch metrics.

• 02

  What metrics can this MCP provide?

  The MCP can access Ragas metrics such as faithfulness and answer relevancy to score your RAG pipelines.

• 03

  Do I need to write Python code to run evaluations?

  No. This MCP allows your agent to trigger evaluations and manage datasets through natural language commands instead of manual scripting.

• 04

  Can I manage my existing Ragas datasets?

  Yes. The MCP includes capabilities to list, get details for, and organize your existing datasets.

• 05

  Can I compare different versions of my agent?

  Yes. You can use the capability to track and compare metrics across different experiments and agent versions.

• 06

  How do I secure an App Token for Ragas?

  Log into your provided Ragas dashboard. In your project's settings or dedicated security section, you will find the ability to generate a new Application Token. Copy it immediately, as it may only appear once.

• 07

  What format is required to upload a dataset?

  The capability uses common array formats through the MCP wrapper. When passing data, the AI maps arrays containing question, ground_truth and contexts natively matching Ragas base requirements.

• 08

  Does the server evaluate prompts automatically during testing?

  Yes. When triggering evaluations, Ragas uses its own sophisticated metrics (like Faithfulness, Answer Relevance) running internally. The MCP server simply pipes these generated reports back to your chat.

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